Data Engineer — Cloud Data Pipelines (Contract/Perm)

Horizon Digital

Perth

In loco

AUD 110.000 - 150.000

Part-time

4 giorni fa
Candidati tra i primi
Generatore di candidature

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Descrizione del lavoro

Horizon Digital, a Perth-based AI and software consultancy, is seeking a Data Engineer for contract and permanent opportunities in Perth. You’ll build and optimize data pipelines, model data for BI and AI use, and work with mining, energy and industrial clients to enable self-serve analytics.

Ideal candidates have 4+ years in data engineering, strong SQL/Python, and hands-on experience with Databricks or major data services.

Competenze

  • 4+ years of hands-on data engineering experience.
  • Strong SQL and Python (or PySpark).
  • Experience with at least one of Databricks, Azure Data Factory, Synapse, Fabric or AWS data services.
  • A practical, friendly way of working with non-technical stakeholders.

Mansioni

  • Build and support data pipelines, ingestion and transformations on modern cloud platforms (Azure, AWS, Databricks or Microsoft Fabric).
  • Work with operational data such as equipment telemetry, IoT and time series, and with data from ERP and other enterprise systems.
  • Design data models and semantic layers that power Power BI dashboards and executive reporting.
  • Prepare clean, well governed data for machine learning and AI solutions.
  • Help set standards for data quality, governance and cost monitoring.
  • Work closely with architects, analysts and business teams, and help people self serve.

Conoscenze

SQL
Python
Data engineering
Stakeholder communication

Strumenti

Databricks
Azure Data Factory
Azure Synapse
Fabric
AWS data services

Descrizione del lavoro

Horizon Digital, a Perth-based AI and software consultancy, is seeking a Data Engineer for contract and permanent opportunities in Perth. You’ll build and optimize data pipelines, model data for BI and AI use, and work with mining, energy and industrial clients to enable self-serve analytics.

Ideal candidates have 4+ years in data engineering, strong SQL/Python, and hands-on experience with Databricks or major data services.

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